1Department of Agricultural Entomology, Ratnai Agriculture College, Akluj-413101 (M.S.).
2Department of Agricultural Entomology, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani-431 402 (M.S.).
3Department of Agricultural Entomology, Ratnai Agriculture College, Akluj-413101(M.S.).
*email rupayogeshjadhav@gmail.com
Online published on 22 September, 2017.
The study on seasonal incidence of summer okra as influenced by weather parameters on leafhopper was reached to its peak level (18.18 leafhoppers/3 leaves) in 18th MW of April. The correlation studies indicated that leafhopper showed maximum temperature (r= 0.667**), minimum temperature (r= 0.772**) and evaporation (r= 0.586*) were found positively significant, whereas with R.H (%) AM (r= - 0.764**) was negatively significant. The equations of linear regression were set of leafhopper population by working out regression coefficient (b) and constant (a). The multiple regression equation fitted were worked out and the coefficient of determination (R2) mostly showed higher indication, hence the predictions of the leafhopper population by using weather parameters were reliable.
seasonal, incidence, correlation, regression, weather